#🚀 Passionate about transforming data into insights and building intelligent solutions**
🚀 Passionate about Transforming Data into Insights, Building Intelligent Solutions, Driving Innovation, and Empowering Decisions Through Data & AI
I am a Computer Science Engineering (CSE) graduate with a specialization in Artificial Intelligence and Machine Learning, passionate about Data Science, Data Analytics, and Business Analysis. I enjoy transforming raw data into meaningful insights that support informed business decision-making.
I have over 2 years of professional experience as a Junior Project Engineer at Larsen & Toubro (L&T India), where I developed strong expertise in project management, resource planning, coordination, and execution of large-scale engineering projects. During my tenure, I worked extensively with Advanced Excel, Power BI, and PowerPoint for data analysis, visualization, and management reporting.
My responsibilities included data reconciliation and validation to ensure accuracy in project records, along with managing and organizing project data on internal systems. I also gained hands-on experience with SAP MM (Material Management) and internal platforms such as ELPH for engineering project data management.
Additionally, I handled engineering drawing material reconciliation and contributed to improving data accuracy, reporting efficiency, and site-level coordination. I am focused on building a career in Data Analytics and Data Science, where I can apply my analytical skills and technical knowledge to solve real-world business problems.
💡 My learning progress across core Data Analyst & Data Science skills
Guru Gobind Singh Indraprastha University (IPU)
📅 2021 - 2024
📍 Delhi, India
G.B. Pant Institute of Technology
📅 2016 - 2019
📍 Delhi, India
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🔹 Transforming raw data into actionable insights
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🔹 Building real-world projects using Python, SQL, Power BI & Machine Learning
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🔹 Passionate about Analytics, Automation & AI-driven decision making
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🔹 Open to collaborations, networking, internships & full-time opportunities
Tools & Libraries:
Jupyter Notebook • Pandas • NumPy • Matplotlib • Seaborn • Scikit-learn • Streamlit • Plotly • Git • VS Code • Anaconda
Skills:
Database Querying • Joins • Stored Procedures • Data Extraction • Data Analysis • Data Modeling
Tools:
MySQL • SQL Server • Power BI • Power Query • Excel Integration
Skills:
DAX • Power Query • Data Modeling • ETL • Dashboard Design • Reports • Data Visualization • Data Cleaning
Skills:
VLOOKUP • XLOOKUP • Pivot Tables • Power Pivot • Data Validation • Data Cleaning • Charts • Filters • Interactive Dashboards
Skills:
Regression • Classification • Clustering • Feature Engineering • Model Training • Model Evaluation • Scikit-learn • Jupyter
Skills:
Prompt Design • AI Optimization • Instruction Tuning • Workflow Automation • Prompt Testing • LLM Interaction
Skills:
GPT-4 • Data Analysis • Automation • Coding Assistance • Content Generation • Productivity Enhancement • Problem Solving
Tools:
Power BI • Matplotlib • Seaborn • Tableau (Basic)
Skills:
Interactive Dashboards • Business Reports • KPI Tracking • Analytical Charts
Skills:
Excel Reconciliation • VLOOKUP • XLOOKUP • Duplicate Detection • Data Validation • Error Checking • Reporting • Dashboard Creation
Skills:
Probability • Hypothesis Testing • Regression Analysis • Descriptive Statistics • Data Analytics • Statistical Modeling
Skills:
Procurement • Inventory Management • Vendor Management • Purchase Orders • Material Master • Stock Management • Supplier Coordination • Reporting
Welcome to my Kaggle achievement showcase!
This repository highlights my learning journey, consistency, and growth in Data Science & Python programming.
RAW DATA → CLEANING → PROCESSED DATA
┌──────────────┐ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐
│ RAW DATA │ → │ CLEAN DATA │ → │ PROCESSING │ → │ VISUALIZATION│
│ (Messy Input)│ │ (Filtered) │ │ (Modeling) │ │ (Insights) │
└──────────────┘ └──────────────┘ └──────────────┘ └──────────────┘
↓
┌──────────────┐
│ BUSINESS │
│ IMPACT │
└──────────────┘
